Energy Efficient QoS Routing Protocol based on Genetic Algorithm in MANET

Energy Efficient QoS Routing Protocol based on Genetic Algorithm in MANET

M.L.Ravi Chandra

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Dr. P. Chandra Sekhar Reddy

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Energy Efficient QoS Routing Protocol based on Genetic Algorithm in MANET

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Abstract

In mobile ad-hoc networks (MANETs), providing quality of service is more challenging than wired networks, because of multi hop communication, node connectivity and lack of central coordination. Mobile ad-hoc networks need sure distinctive characteristics which might cause difficulties providing QoS in such network. Coming up with of multi constrained QoS routing protocols remains troublesome. As a result of routing protocols must satisfy the numerous QoS metrics at a time. Genetic algorithm based routing protocol will give the solution for multi constrained QoS routing problem. In existing genetic algorithm based routing, achieving energy efficiency is the major drawback. To overcome this drawback, in this paper, we have proposed genetic algorithm based energy efficient QoS routing for MANET. Proposed GA based routing algorithm discovered the shortest path from source to destination, which can consumes less energy compare to existing algorithms. In this paper TCP,CBR and video sources are applied at a time then energy consumption of proposed algorithm is compared with existing normal GA based and AOMDV. Simulation results show that proposed algorithm consumes less energy towards given scenario. Simulations are performed in NS-2.

References

15 Cites in Article

Reference Format

Wendong Xiao,Hee Boon,Choi Look Soong,Yong Law,Liang Guan (2005). QoS Routing Protocol for Ad Hoc Networks with Mobile Backbones.
Zhenjiang Li,J Garcia-Luna-Aceves (2006). Finding multi-constrained feasible paths by using depth-first search.
Vinod Kone,Sukumar Nandi (2006). QoS Constrained Adaptive Routing Protocol For Mobile Adhoc Networks.
R Asokan,A Natarajan,A .Nivetha (2007). A Swarm-based Distance Vector Routing to Support Multiple Quality of Service (QoS) Metrics in Mobile Adhoc Networks.
Rahim Hanzo,Tafazolli (2007). A SURVEY OF QOS ROUTING SOLUTIONS FOR MOBILE AD HOC NETWORKS.
Lajos Hanzo,Rahim Tafazolli (2007). A survey of QoS routing solutions for mobile ad hoc networks.
Saida Ziane,Abdelhamid Mellouk (2007). AMDR: A Reinforcement Adaptive Mean Delay Routing Algorithm for MANET.
Perumalsamy Deepalakshmi,Shanmugasundaram Radhakrishnan (2009). An ant colony-based multi objective quality of service routing for mobile ad hoc networks.
G Santhi,Alamelu Nachiappan (2010). A SURVEY OF QOS ROUTING PROTOCOLS FOR MOBILE AD HOC NETWORKS.
D Thenmozhi,Dr Lakshmipathi (2010). Highly Ensured QOS Routing in Mobile Ad Hoc Networks Based on Multiple Constraints.
Zhu Inhua,Xin Wang (2011). Model and Protocol for Energy-Efficient Routing over Mobile Ad Hoc Networks.
Jiwa Abdullah,M Ismail,N Cholan,S Hamzah (2008). GA-based QoS Route Selection Algorithm for Mobile Ad-Hoc Networks.
Salman Yussof,Hang Ong,See (2010). A Robust GAbased QoS Routing Algorithm for Solving Multiconstrained Path Problem.
Gabriel Ivascu,Samuel Pierre,Alejandro Quintero (2009). QoS routing with traffic distribution in mobile ad hoc networks.
Floriano De Rango,Francesca Guerriero,Peppino Fazio (2012). Link-Stability and Energy Aware Routing Protocol in Distributed Wireless Networks.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

M.L.Ravi Chandra. 2014. \u201cEnergy Efficient QoS Routing Protocol based on Genetic Algorithm in MANET\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E7): .

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GJCST Volume 14 Issue E7
Pg. 9- 13

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

energy consumption Genetic Algorithm multi constrained

Submission ReceivedDecember 12, 2013
Peer Review Double Blind
Handling Editor
Accepted January 3, 2014
Published January 15, 2014

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November 12, 2014

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: M.L.Ravi Chandra, Dr. P. Chandra Sekhar Reddy (PhD/Dr. count: 1)

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Publish Date: 2014 11, Wed

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Total Views: 8642

Total Downloads: 2189

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